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cs.CV2026

AeroLLE: Constrained Pseudo-Supervision for Nighttime Aerial Image Enhancement with the AeroNight-1.5K Benchmark

Wei Lu, Hongyuan Liu, Si-Bao Chen

Nighttime aerial image enhancement is challenged by spatially nonuniform exposure, mixed illumination, and weak structural evidence, while registered normal-light targets are diffi…

cs.CV2026

ASFR-Net: Adversarial Alignment and Spatio-Frequency Refinement Network for Heterogeneous Remote Sensing Image Change Detection

Xin-Jie Wu, Zhi-Hui You, Si-Bao Chen +4

The core challenge of heterogeneous change detection in remote sensing imagery lies in effectively decoupling genuine land-cover changes from significant modal disparities caused b…

cs.CV2026

SARU: A Shadow-Aware and Removal Unified Framework for Remote Sensing Images with New Benchmarks

Zi-Yang Bo, Wei Lu, Hongruixuan Chen +2

Shadows are a prevalent problem in remote sensing imagery (RSI), degrading visual quality and severely limiting the performance of downstream tasks like object detection and semant…

cs.CV2026

AeroDeshadow: Physics-Guided Shadow Synthesis and Penumbra-Aware Deshadowing for Aerospace Imagery

Wei Lu, Zi-Yang Bo, Fei-Fei Sang +3

Shadows are prevalent in high-resolution aerospace imagery (ASI). They often cause spectral distortion and information loss, which degrade downstream interpretation tasks. While de…

cs.CV2026

Building Extraction from Remote Sensing Imagery under Hazy and Low-light Conditions: Benchmark and Baseline

Feifei Sang, Wei Lu, Hongruixuan Chen +2

Building extraction from optical Remote Sensing (RS) imagery suffers from performance degradation under real-world hazy and low-light conditions. However, existing optical methods…

cs.CV2026

EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition

Xiao Wang, Xingxing Xiong, Jinfeng Gao +5

Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of conventional visible-light cameras under…